NWS Atlanta tornado damage polygons accessed from NOAA/NWS Damage Assessment Toolkit (DAT) are mapped from 2011 when the DAT application was implemented operationally post-event assessment at NWS Atlanta to the present date. DAT tornado polygons show the swath of damage from post-event surveys conducted by NWS Atlanta using a geospatial mobile application to log damage points and indicators. The resulting swath of damage is classified by the magnitude of the Enhanced Fujita (EF) Scale. Damage swaths from tornado surveys are advantageous to users as swath polygons provide higher spatial resolution damage information than other available tornado datasets.The shapefile for the NWS Atlanta tornado damage polygons from 2011 to present were downloaded from the NWS Damage Assessment Toolkit accessed at https://apps.dat.noaa.gov/stormdamage/damageviewer/. This layer supports the NWS Atlanta Damage Assessment Toolkit Tornado Polygons (2011-Present) Map, which can be accessed at https://arcg.is/1CSyX0. The NWS Atlanta Damage Assessment Toolkit Tornado Polygons (2011-Present) Map supports the NWS Atlanta Tornado Climatology Dashboard web map application, which can be accessed at https://arcg.is/1yTWuz.

Feature layer containing significant wind polygons drawn following storm surveys of the August 10, 2020 derecho damage path. Feature layer appears in a web map displaying the derecho's wind swath. Data obtained from the Damage Assessment Toolkit.

NWS Atlanta tornado damage paths accessed from NOAA/NWS Damage Assessment Toolkit (DAT) are mapped from 2011 when the DAT application was implemented operationally for post-event assessment at NWS Atlanta to the present date. DAT tornado paths show the storm track as they are created by connecting the centerline of damage indicator locations logged using the DAT mobile GIS application during post-event tornado surveys. The paths are classified by the highest Enhanced Fujita (EF) Scale magnitude the storm achieved. Because of this, the EF magnitude of the tornado may not be reflective of the actual strength of the tornado at a particular location. The DAT polygon data is considered more useful to explore the evolution of the strength of the tornado along its path.While data in the DAT have been quality controlled, this data is considered to be preliminary while official storm data can be found using a web-based GIS service at https://www.ncdc.noaa.gov/IPS/sd/sd.html. In addition to DAT storm path data, DAT polygon and point data can be accessed at https://apps.dat.noaa.gov/stormdamage/damageviewer/. This layer supports the NWS Atlanta Damage Assessment Toolkit Tornado Polygons (2011-Present) map, which can be accessed at https://arcg.is/1a1yTi0. The NWS Atlanta Damage Assessment Toolkit Tornado Polygons (2011-Present) map supports the NWS Atlanta Tornado Climatology Dashboard web map application, which can be accessed at https://arcg.is/1yTWuz.

This data set contains sensitive human-use data for designated critical habitats, state parks, wildlife refuges, and wildlife management areas in Alabama. Vector polygons in this data set represent the management areas. Location-specific type and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This dat...

A GIS polygon shapefile outlining the boundaries of the native input datasets used to construct a seamless, 2-meter resolution digital elevation model (DEM) was constructed for the open-coast region of the San Francisco Bay Area (outside of the Golden Gate Bridge), extending from Half Moon Bay to Bodega Head along the North-central California coastline. The goal was to integrate the most recent high-resolution bathymetric and topographic datasets available (for example, Light Detection and Ranging (lidar) topography, multibeam and single-beam sonar bathymetry) into a seamless surface model extending offshore at least 3 nautical miles and inland beyond the +20 m elevation contour.

This data set contains sensitive biological resource data for river otter, muskrat, and one endangered mammal (SE, FE) in Delaware Bay and nearby lands and waters of Delaware, New Jersey, and Pennsylvania. Vector polygons in this data set represent terrestrial mammal distribution. Species specific abundance, seasonality, status, life history, and source information are stored in relational dat...

This data set contains sensitive biological resource data for marine, estuarine, and freshwater fish species in Alabama. Vector polygons in this data set represent fish distribution. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This dat...

Abstract

The dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Areas of outcrop of Winton formation as defined by 1:1 million geological surface mapping. Contacts between Winton Formation and alluvium associated with minor drainage features were removed from the polygons, as in these areas the recent alluvium would be underlain by the Winton Formation. These polygons were then used as a template to modify the Cenozoic geological surfaces.

Attribution

Geological and Bioregional Assessment Program

History

Outcrops of Winton polygons were extracted from 1:1 million geological surface mapping. These polygons were then smoothed to remove boundaries that represent edge of alluvium in minor drainage lines. These smoothed polgons were used to clip the Cooper GBA model grid surfaces of the Cenozioc and Eyre and Glendower Formations. Clipping polygons are required as Eyre and Glendower formations cannot be present where the Winton Formation outcrops.

This data set contains sensitive biological resource data for submerged aquatic vegetation (SAV) and rare plants in North Carolina. Vector polygons in the data set represent the SAV and rare plants. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial dat...

Seventy meters of Cenozoic and Mesozoic pelagic clay cored at DSDP Sites 595 and 596 provide the basis for a preliminary analysis of ichthyolith biostratigraphy in the southwest Pacific. A most likely order of the more reliable ichthyolith events is compared with a synthesis of ichthyolith biostratigraphy in the North Pacific and with dated composite ranges. The resultant preliminary ichthyolith stratigraphy suggests that the Cenozoic is represented by the upper 20 m at Site 596 and 16 to 22 m at Site 595. Mixing of taxa precludes a clear recognition of the Cretaceous/Tertiary boundary at Site 595. The occurrence of 13 newly described subtypes is recorded in Mesozoic sediments at Sites 595 and 596. These new subtypes and previously described Mesozoic forms may be useful for recognizing Mesozoic subdivisions when their occurrences in sequences dated by other microfossils are investigated.

This data set contains sensitive biological resource data for sea turtles in Guam and the Northern Mariana Islands. Vector polygons in this data set represent turtle concentration and nesting areas. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial dat...

See full Data Guide here. This layer includes polygon features that depict protected open space for towns of the Protected Open Space Mapping (POSM) project, which is administered by the Connecticut Department of Energy and Environmental Protection, Land Acquisition and Management. Only parcels that meet the criteria of protected open space as defined in the POSM project are in this layer. Protected open space is defined as: (1) Land or interest in land acquired for the permanent protection of natural features of the state's landscape or essential habitat for endangered or threatened species; or (2) Land or an interest in land acquired to permanently support and sustain non-facility-based outdoor recreation, forestry and fishery activities, or other wildlife or natural resource conservation or preservation activities. Includes protected open space data for the towns of Andover, Ansonia, Ashford, Avon, Beacon Falls, Canaan, Clinton, Berlin, Bethany, Bethel, Bethlehem, Bloomfield, Bridgewater, Bolton, Brookfield, Brooklyn, Canterbury, Canton, Chaplin, Cheshire, Colchester, Colebrook, Columbia, Cornwall, Coventry, Cromwell, Danbury, Derby, East Granby, East Haddam, East Hampton, East Hartford, East Windsor, Eastford, Ellington, Enfield, Essex, Farmington, Franklin, Glastonbury, Goshen, Granby, Griswold, Groton, Guilford, Haddam, Hampton, Hartford, Hebron, Kent, Killingworth, Lebanon, Ledyard, Lisbon, Litchfield, Madison, Manchester, Mansfield, Marlborough, Meriden, Middlebury, Middlefield, Middletown, Monroe, Montville, Morris, New Britain, New Canaan, New Fairfield, New Milford, New Hartford, Newington, Newtown, Norfolk, North, Norwich, Preston, Ridgefield, Shelton, Stonington, Oxford, Plainfield, Plainville, Pomfret, Portland, Prospect, Putnam, Redding, Rocky Hill, Roxbury, Salem, Salisbury, Scotland, Seymour, Sharon, Sherman, Simsbury, Somers, South Windsor, Southbury, Southington, Sprague, Sterling, Suffield, Thomaston, Thompson, Tolland, Torrington, Union, Vernon, Wallingford, Windham, Warren, Washington, Waterbury, Watertown, West Hartford, Westbrook, Weston, Wethersfield, Willington, Wilton, Windsor, Windsor Locks, Wolcott, Woodbridge, Woodbury, and Woodstock. Additional towns are added to this list as they are completed. The layer is based on information from various sources collected and compiled during the period from March 2005 through the present. These sources include but are not limited to municipal Assessor's records (the Assessor's database, hard copy maps and deeds) and existing digital parcel data. The layer represents conditions as of the date of research at each city or town hall. The Protected Open Space layer includes the parcel shape (geometry), a project-specific parcel ID based on the Town and Town Assessor's lot numbering system, and system-defined (automatically generated) fields. The Protected Open Space layer has an accompanying table containing more detailed information about each feature (parcel). This table is called Protected Open Space Dat, and can be joined to Protected Open Space in ArcMap using the parcel ID (PAR_ID) field. Detailed information in the Protected Open Space Data attribute table includes the Assessor's Map, Block and Lot numbers (the Assessor's parcel identification numbering system), the official name of the parcel (such as the park or forest name if it has one), address and owner information, the deed volume and page numbers, survey information, open space type, the unique parcel ID number (Par_ID), comments collected by researchers during city/town hall visits, and acreage. This layer does not include parcels that do not meet the definition of open space as defined above. Features are stored as polygons that represent the best available locational information, and are "best fit" to the land base available for each. The Connecticut Department of Environmental Protection's (CTDEP) Permanently Protected Open Space Phase Mapping Project Phase 1 (Protected Open Space Phase1) layer

Currently filtered for Storm Date is after 12/1/2023Purpose: This is a feature layer of tornado swaths for the NWS Damage Assessment Toolkit.The National Weather Service (NWS) Damage Assessment Toolkit (DAT) has been utilized experimentally since 2009 to assess damage following tornadoes and convective wind events. The DAT is a GIS-based framework for collecting, storing, and analyzing damage survey data, utilizing the Enhanced Fujita (EF) scale for the classification of damage. Data collected from individual locations via mobile device are transmitted to a central geospatial database where they are quality controlled and analyzed to assign the official EF rating. In addition to the individual point, the data are analyzed to generate track centerlines and damage swaths. High resolution satellite imagery and radar data, through partnership with the NASA Short-term Prediction Research and Transition Center, are also available to aid in the analysis. The subsequent dataset is then made available through a web-based graphical interface and GIS services.Here is the full REST service: https://services.dat.noaa.gov/arcgis/rest/services/nws_damageassessmenttoolkitGeoplatform website: https://communities.geoplatform.gov/disasters/noaa-damage-assessment-toolkit-dat/More InformationWelcome to the National Weather Service Damage Assessment Toolkit. Data on this interface is collected during NWS Post-Event Damage Assessments. While the data has been quality controlled, it is still considered preliminary. Official statistics for severe weather events can be found in the Storm Data publication, available from the National Centers for Environmental Information (NCEI) at: https://www.ncdc.noaa.gov/IPS/sd/sd.html Questions regarding this data can be addressed to: parks.camp@noaa.gov.

This is a shapefile of points summarizing inundation metrics and geomorphic variables for bends in the downstream-most 800 km of the Lower Missouri River. Points are located at the centroids of 10-km bends of the river. The metrics were developed through analysis of inundation maps calculated from a 1-dimensional hydraulic model for the channel and floodplain. Water-surface elevations were extended across the valley bottom and intersected with lidar-derived floodplain topography to calculate inundation depth and extent on a daily basis. Detailed methods are documented in Bulliner and others (2017). We evaluated longitudinal spatial variation by aggregating floodplain inundation estimates by Thiessen polygons centered at 1-km address points along the Lower Missouri River channel navigation line and extending to the valley walls. The Thiessen polygons sample the area of the floodplain so that the attributes within the polygon are geometrically closest to the address point. These dat ...

See full Data Guide here. This layer includes polygon features that depict protected open space for towns of the Protected Open Space Mapping (POSM) project, which is administered by the Connecticut Department of Energy and Environmental Protection, Land Acquisition and Management. Only parcels that meet the criteria of protected open space as defined in the POSM project are in this layer. Protected open space is defined as: (1) Land or interest in land acquired for the permanent protection of natural features of the state's landscape or essential habitat for endangered or threatened species; or (2) Land or an interest in land acquired to permanently support and sustain non-facility-based outdoor recreation, forestry and fishery activities, or other wildlife or natural resource conservation or preservation activities. Includes protected open space data for the towns of Andover, Ansonia, Ashford, Avon, Beacon Falls, Canaan, Clinton, Berlin, Bethany, Bethel, Bethlehem, Bloomfield, Bridgewater, Bolton, Brookfield, Brooklyn, Canterbury, Canton, Chaplin, Cheshire, Colchester, Colebrook, Columbia, Cornwall, Coventry, Cromwell, Danbury, Derby, East Granby, East Haddam, East Hampton, East Hartford, East Windsor, Eastford, Ellington, Enfield, Essex, Farmington, Franklin, Glastonbury, Goshen, Granby, Griswold, Groton, Guilford, Haddam, Hampton, Hartford, Hebron, Kent, Killingworth, Lebanon, Ledyard, Lisbon, Litchfield, Madison, Manchester, Mansfield, Marlborough, Meriden, Middlebury, Middlefield, Middletown, Monroe, Montville, Morris, New Britain, New Canaan, New Fairfield, New Milford, New Hartford, Newington, Newtown, Norfolk, North, Norwich, Preston, Ridgefield, Shelton, Stonington, Oxford, Plainfield, Plainville, Pomfret, Portland, Prospect, Putnam, Redding, Rocky Hill, Roxbury, Salem, Salisbury, Scotland, Seymour, Sharon, Sherman, Simsbury, Somers, South Windsor, Southbury, Southington, Sprague, Sterling, Suffield, Thomaston, Thompson, Tolland, Torrington, Union, Vernon, Wallingford, Windham, Warren, Washington, Waterbury, Watertown, West Hartford, Westbrook, Weston, Wethersfield, Willington, Wilton, Windsor, Windsor Locks, Wolcott, Woodbridge, Woodbury, and Woodstock. Additional towns are added to this list as they are completed. The layer is based on information from various sources collected and compiled during the period from March 2005 through the present. These sources include but are not limited to municipal Assessor's records (the Assessor's database, hard copy maps and deeds) and existing digital parcel data. The layer represents conditions as of the date of research at each city or town hall. The Protected Open Space layer includes the parcel shape (geometry), a project-specific parcel ID based on the Town and Town Assessor's lot numbering system, and system-defined (automatically generated) fields. The Protected Open Space layer has an accompanying table containing more detailed information about each feature (parcel). This table is called Protected Open Space Dat, and can be joined to Protected Open Space in ArcMap using the parcel ID (PAR_ID) field. Detailed information in the Protected Open Space Data attribute table includes the Assessor's Map, Block and Lot numbers (the Assessor's parcel identification numbering system), the official name of the parcel (such as the park or forest name if it has one), address and owner information, the deed volume and page numbers, survey information, open space type, the unique parcel ID number (Par_ID), comments collected by researchers during city/town hall visits, and acreage. This layer does not include parcels that do not meet the definition of open space as defined above. Features are stored as polygons that represent the best available locational information, and are "best fit" to the land base available for each. The Connecticut Department of Environmental Protection's (CTDEP) Permanently Protected Open Space Phase Mapping Project Phase 1 (Protected Open Space Phase1) layer

The regions dataset holds polygon data. The polygons are overlapping and suitable for use at multiple scales. The data include regions as large as the Southern Ocean, Australia's limit of the Southern Ocean, and AAT West. It also includes small areas such as Mawson Coast, Rauer Group and Bunger Hills. Extents for each region are defined in the attribute table.

The data were captured so that online applications, such as the Map Catalogue and Data Navigator, could use region information consistently.

The data are stored in geographicals, i.e. unprojected. The data include an attribute PROJECTION which stores the suggested projection for a region in code. The code represents projections used by Oracle.

The polygon layer of the boundaries of the cadastral units of the Capital City of Prague in 1930 was created on the basis of the map "Map and plan of Greater Prague at a scale of 1 : 25 000" from 1937, , by modifying the layer of the cadastral units of Prague from 1994. The layer was supplemented with statistical data from the 1930 Census.The dataset was created as one of the outputs of the NAKI project no. DF12P01OVV033 Zpřístupnění historických prostorových a statistických dat v prostředí GIS.Link to the statistical data attributes and project metadata.

NWS Atlanta tornado damage polygons accessed from NOAA/NWS Damage Assessment Toolkit (DAT) are mapped from 2011 when the DAT application was implemented operationally post-event assessment at NWS Atlanta to the present date. DAT tornado polygons show the swath of damage from post-event surveys conducted by NWS Atlanta using a geospatial mobile application to log damage points and indicators. The resulting swath of damage is classified by the magnitude of the Enhanced Fujita (EF) Scale. Damage swaths from tornado surveys are advantageous to users as swath polygons provide higher spatial resolution damage information than other available tornado datasets. This map is supplemented by a layer containing DAT Paths for tornadoes without polygon data where paths were generated by creating a centerline from damage survey points.While data in the DAT have been quality controlled, this data is considered to be preliminary while official storm data can be found using a web-based GIS service at https://www.ncdc.noaa.gov/IPS/sd/sd.html. In addition to DAT storm polygon data, DAT path centerlines and point data can be accessed at https://apps.dat.noaa.gov/stormdamage/damageviewer/. This map supports the NWS Atlanta Tornado Climatology Dashboard web map application, which can be accessed at https://arcg.is/1yTWuz.

The polygon layer of the boundaries of the cadastral units of the Capital City of Prague in 1947 was created on the basis of the map "Prague: Detailed plan of the capital city on 36 sheets at a scale of 1 : 15 000", from 1946, by modifying the layer of the cadastral units of Prague from 1994.The dataset was created as one of the outputs of the NAKI project no. DF12P01OVV033 Zpřístupnění historických prostorových a statistických dat v prostředí GIS.Link to the project metadata.

The polygon layer of the boundaries of the cadastral units of the Capital City of Prague in 1921 was created on the basis of the map "New, officially approved plan of Greater Prague" at a scale of 1 : 25 000 from 1921 by modifying the layer of the cadastral units of Prague from 1994. The layer was supplemented with statistical data from the 1921 Census.The dataset was created as one of the outputs of the NAKI project no. DF12P01OVV033 Zpřístupnění historických prostorových a statistických dat v prostředí GIS.Link to the statistical data attributes and project metadata.